Ares — CS2 Stats

76561198370531136[U:1:410265408]

972Tracked matches46%Win rate2021Tracked since

CSDB Rating4.1 Developing

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanSilver II

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim48

Positioning36

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY54–43–3Last 10054%Win rateLWWLWWLWLL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

Aim4.8

Aggression3.4

Utility4.3

Positioning3.6

Opening Duels0.0

Clutch2.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like NiKo 72% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 609ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim4.8

Positioning3.6

Utility4.3

Mechanics6.2

Opening Duels0.2

Win Impact3.8

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.00

first ⅓ avg -0.03 → last ⅓ avg -0.03

Reaction time607ms−39ms

first ⅓ avg 645ms → last ⅓ avg 607ms

Headshot accuracy13.7%−0.9%

first ⅓ avg 14.6% → last ⅓ avg 13.7%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.21Best rating — inferno 13–2

13–1Biggest win — ancient

9Longest win streak

12–5In matches decided by ≤2 rounds

6Overtime games

Map breakdown

overpassBest map · 83% over 12dust2Weakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	24	11–13	46%	-0.03
inferno	B	16	8–8	50%	-0.01
ancient	S	13	9–4	69%	-0.03
overpass	S	12	10–2	83%	-0.04
nuke	B	10	5–5	50%	-0.02
dust2	C	10	4–6	40%	-0.03
train	A	10	6–4	60%	-0.04
cache	—	3	0–3	0%	-0.02
anubis	—	2	1–1	50%	0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

25Matches

52%Win rate

0.73Avg K/D

68.0ADR

40%Headshot %

Clutches & streaks

33%1v1 clutch win

17%1v2 clutch win

3Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	9	33%	0.66	10.1
Inferno	6	67%	0.76	11.8
Nuke	3	100%	0.82	10.7
Dust2	3	67%	0.65	9.0
Vertigo	2	50%	0.94	14.5
Ancient	1	0%	0.81	13.0
Anubis	1	0%	0.60	6.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.5%Headshot accuracy

29.2%Accuracy (enemy spotted)

31.3%Spray accuracy

78.0%Counter-strafing

9.6°Preaim

609msReaction time

23.4%T opening success

31.6%CT opening success

0.57Enemies flashed / flash

3.8%Flash assists

11.13HE damage / grenade

4.98Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.5039% — below the 15% mark we flag
Aim Training →
Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 23.4277% — below the 40% mark we flag

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	9–13	-0.08	10%	27 Aug →
nuke	13–11	-0.05	15%	5 Aug →
nuke	13–10	0.03	5%	27 Jul →
cache	5–13	-0.10	14%	27 Jul →
ancient	13–5	0.05	13%	8 Jul →
ancient	13–7	-0.08	29%	30 Jun →
mirage	4–13	-0.07	7%	30 Jun →
anubis	13–5	0.02	15%	30 Jun →
cache	10–13	0.10	13%	30 May →
cache	7–13	-0.06	11%	9 May →
anubis	11–13	0.03	16%	18 Apr →
ancient	7–13	-0.05	16%	3 Jan →
nuke	11–13	-0.05	12%	3 Jan →
dust2	5–13	-0.06	12%	3 Jan →
inferno	5–13	-0.06	7%	3 Jan →
ancient	13–9	-0.07	10%	2 Jan →
dust2	4–13	-0.09	26%	31 Dec →
train	3–12	-0.09	11%	31 Dec →
mirage	13–6	-0.04	9%	30 Dec →
mirage	13–9	-0.03	11%	30 Dec →
dust2	13–5	0.04	17%	30 Dec →
mirage	13–9	0.07	20%	28 Dec →
inferno	4–13	-0.07	10%	27 Dec →
mirage	13–8	-0.01	15%	27 Dec →
inferno	12–12	-0.01	19%	26 Dec →
inferno	13–7	-0.01	8%	26 Dec →
train	8–13	-0.07	13%	23 Dec →
mirage	8–13	-0.04	17%	20 Dec →
overpass	15–15	-0.05	13%	19 Dec →
mirage	13–7	0.00	12%	19 Dec →
dust2	9–13	-0.06	18%	17 Dec →
ancient	8–13	-0.05	12%	17 Dec →
train	7–13	-0.03	18%	17 Dec →
overpass	13–6	-0.02	11%	17 Dec →
inferno	13–2	0.21	16%	17 Dec →
overpass	13–10	-0.01	12%	17 Dec →
dust2	5–13	-0.05	32%	16 Dec →
inferno	13–4	0.03	12%	16 Dec →
nuke	9–13	0.05	12%	16 Dec →
nuke	13–11	-0.06	13%	16 Dec →
dust2	3–13	0.01	16%	16 Dec →
inferno	16–13	-0.05	12%	16 Dec →
nuke	4–13	-0.06	35%	16 Dec →
ancient	13–9	-0.02	6%	16 Dec →
dust2	13–10	0.03	19%	16 Dec →
train	13–11	-0.08	12%	14 Dec →
inferno	11–13	-0.04	14%	14 Dec →
ancient	13–8	-0.03	21%	14 Dec →
overpass	13–11	0.00	7%	13 Dec →
train	16–12	-0.05	7%	13 Dec →
ancient	13–1	0.02	14%	13 Dec →
overpass	13–11	-0.10	6%	12 Dec →
mirage	13–8	0.00	11%	12 Dec →
nuke	13–5	0.01	22%	12 Dec →
overpass	13–10	-0.03	12%	12 Dec →
overpass	13–4	-0.01	21%	12 Dec →
mirage	1–7	-0.07	50%	12 Dec →
dust2	13–7	-0.04	26%	11 Dec →
inferno	9–2	-0.03	23%	11 Dec →
mirage	5–13	-0.07	11%	9 Dec →
nuke	13–8	-0.01	13%	9 Dec →
inferno	13–3	0.05	16%	8 Dec →
mirage	0–5	-0.07	33%	8 Dec →
mirage	6–13	-0.07	14%	3 Nov →
nuke	6–13	-0.04	11%	28 Oct →
mirage	13–8	0.01	18%	28 Oct →
mirage	9–13	-0.08	6%	19 Oct →
mirage	9–13	-0.02	11%	6 Oct →
mirage	10–13	-0.03	11%	6 Oct →
train	13–7	-0.06	16%	6 Oct →
train	13–5	0.08	15%	6 Oct →
ancient	11–13	-0.05	4%	6 Oct →
ancient	13–11	0.03	13%	6 Oct →
inferno	6–13	-0.08	8%	6 Oct →
ancient	13–6	0.04	23%	6 Oct →
mirage	13–4	0.09	11%	6 Oct →
overpass	9–13	-0.04	16%	5 Oct →
mirage	2–13	-0.08	13%	5 Oct →
nuke	11–13	-0.05	4%	5 Oct →
ancient	13–11	-0.03	10%	4 Oct →
mirage	4–13	-0.10	21%	4 Oct →
inferno	13–10	0.02	11%	4 Oct →
overpass	13–11	-0.04	21%	4 Oct →
mirage	13–11	-0.02	17%	4 Oct →
overpass	13–10	-0.03	23%	30 Sept →
mirage	9–13	-0.02	18%	30 Sept →
inferno	9–13	-0.07	8%	30 Sept →
mirage	15–15	-0.03	24%	30 Sept →
inferno	6–13	-0.06	8%	29 Sept →
mirage	13–10	-0.03	13%	29 Sept →
overpass	13–5	-0.09	10%	29 Sept →
overpass	13–11	-0.06	13%	29 Sept →
dust2	16–14	-0.02	15%	29 Sept →
inferno	13–9	0.01	11%	29 Sept →
dust2	7–13	-0.05	18%	29 Sept →
train	3–13	-0.08	21%	28 Sept →
train	13–10	-0.00	20%	28 Sept →
mirage	13–10	-0.01	17%	26 Sept →
train	16–14	-0.03	15%	26 Sept →
inferno	5–13	0.01	21%	26 Sept →